Vanishing Gradients

Hugo Bowne-Anderson

A podcast for people who build with AI. Long-format conversations with people shaping the field about agents, evals, multimodal systems, data infrastructure, and the tools behind them. Guests include Jeremy Howard (fast.ai), Hamel Husain (Parlance Labs), Shreya Shankar (UC Berkeley), Wes McKinney (creator of pandas), Samuel Colvin (Pydantic) and more. hugobowne.substack.com

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Vanishing Gradients

Episodes (72)

Mar 20th Episode 72: Why Agents Solve the Wrong Problem (and What Data Scientists Do Instead)
Feb 18th Episode 71: Durable Agents - How to Build AI Systems That Survive a Crash with Samuel Colvin
Feb 12th Episode 70: 1,400 Production AI Deployments

Vanishing Gradients

Mar 20, 2026
2½ hours
86 MB

I often see what I would consider to be b******t evals, especially in data, like write this dumb SQL. Almost every one of these dumb SQL questions that I’ve seen for benchmarks are just so either obviously easy or overwhelmingly adversarial. They just, they don’t feel valuable as a data scientist, it’s something that you probably would never ask a real data scientist to do. So I went out my way to create real ones. Let me read one to you. Bryan Bischof, Head of AI at Theory Ventures, joins Hugo to talk about...

Vanishing Gradients

Episode 72: Why Agents Solve the Wrong Problem (and What Data Scientists Do Instead)

Hugo Bowne-Anderson

00:00 -01:33:39